Project | Description |
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Avatar-Product Interaction Image Generation | A research-grade pipeline for generating high-fidelity avatar-product interaction images using state-of-the-art diffusion models. |
2nd Place Solution of AI Journey Contest: AITrain track | Developed a computer vision system for Semantic Rail Scene Understanding based on Panoptic FPN and YOLOv5. |
Top 3% solution for Kaggle APTOS 2019 Blindness Detection | Trained a convolutional neural network using PyTorch to speed up disease detection. |
Neural Differential Equations | My review (in Russian), tutorial and experiments on a paper «Neural Ordinary Differential Equations», which received the Best Paper award at NeurIPS 2018. |
Deep learning engineer, MSc in CS, Kaggle competitions expert
- Yerevan, Armenia
- https://www.kaggle.com/mamatml
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avatar_product_interaction
avatar_product_interaction PublicAvatar-Product Interaction Image Generation
Python 9
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Kaggle-APTOS-2019-Blindness-Detection
Kaggle-APTOS-2019-Blindness-Detection PublicSource code of top 3% solution for the Kaggle APTOS 2019 Blindness Detection challenge.
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